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Modelmeter

xyz.modelmeter/modelmeter

The changelog of record for the AI stack: sunset checks, deprecations, pricing, and model events.

Yes, your AI can use this right now.Answered a live MCP handshake in 171 ms with no sign-in needed and exposes 7 tools.

Connect it

Settings → Connectors → Add custom connector
URL: https://modelmeter.xyz/mcp

7 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
estimate_cost

Estimate the USD cost of an LLM API call for a given model and token counts. Returns input/output/total cost, plus reseller markup vs. the upstream model when applicable.

get_model

Unified card for one model in a single call: normalized pricing, capabilities (context window, vision, reasoning, tags), availability, reseller markup vs. upstream, and a price-history summary (launch vs. current price, percent change, last change date, all-time low/high).

list_models

List available models with their current pricing. Optionally filter by provider.

get_price_history

Historical pricing time-series for a model or provider. Each point is a dated snapshot of the per-Mtok rates.

list_events

The changelog of record for the model layer: deprecations, price changes, launches, and the market events around them. Filter by severity to find what demands action: 'breaking' (model going away, ID changing), 'action_required' (price/rate-limit/context changes), 'informational' (releases, funding).

check_model_dependencies

Is my stack okay? Check a list of model ids against the record: scheduled retirements with days-remaining countdowns and migration targets, past retirements, and other breaking/action-required changes. Id matching tolerates dots vs dashes, dated snapshot suffixes, and bare or provider-prefixed forms. Call this at startup or in CI with the models you depend on.

list_deprecations

Per-model retirement rows from the record: which model dies when, with runway and migration target. Default shows scheduled (upcoming) retirements sorted by shutdown date.

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